Evidence map›Paper›PMID 27636358›Full record

ArticlePLoS computational biology2016

M-Track: A New Software for Automated Detection of Grooming Trajectories in Mice.

Sheldon L Reeves, Kelsey E Fleming, Lin Zhang, Annalisa Scimemi

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  6. Review
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  8. Animal behavior on auto.Lab animal · 2019
    Article
  9. Neuronal Glutamate Transporters Control Dopaminergic Signaling and Compulsive Behaviors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  10. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sheldon L ReevesDepartment of Computer Science, State University of New York Polytechnic Institute, Utica, New York, United States of America.
Kelsey E FlemingDepartment of Biology, State University of New York Albany, Albany, New York, United States of America.ORCID 0000-0002-3072-4830
Lin ZhangDepartment of Computer Science, State University of New York Albany, Albany, New York, United States of America.
Annalisa ScimemiDepartment of Biology, State University of New York Albany, Albany, New York, United States of America.ORCID 0000-0003-4975-093X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grooming is a complex and robust innate behavior, commonly performed by most vertebrate species. In mice, grooming consists of a series of stereotyped patterned strokes, performed along the rostro-caudal axis of the body. The frequency and duration of each grooming episode is sensitive to changes in stress levels, social interactions and pharmacological manipulations, and is therefore used in behavioral studies to gain insights into the function of brain regions that control movement execution and anxiety. Traditional approaches to analyze grooming rely on manually scoring the time of onset and duration of each grooming episode, and are often performed on grooming episodes triggered by stress exposure, which may not be entirely representative of spontaneous grooming in freely-behaving mice. This type of analysis is time-consuming and provides limited information about finer aspects of grooming behaviors, which are important to understand movement stereotypy and bilateral coordination in mice. Currently available commercial and freeware video-tracking software allow automated tracking of the whole body of a mouse or of its head and tail, not of individual forepaws. Here we describe a simple experimental set-up and a novel open-source code, named M-Track, for simultaneously tracking the movement of individual forepaws during spontaneous grooming in multiple freely-behaving mice. This toolbox provides a simple platform to perform trajectory analysis of forepaw movement during distinct grooming episodes. By using M-track we show that, in C57BL/6 wild type mice, the speed and bilateral coordination of the left and right forepaws remain unaltered during the execution of distinct grooming episodes. Stress exposure induces a profound increase in the length of the forepaw grooming trajectories. M-Track provides a valuable and user-friendly interface to streamline the analysis of spontaneous grooming in biomedical research studies.

Indexed as

SoftwareAnimalsBehavior, AnimalComputational BiologyFemaleGroomingImage Processing, Computer-AssistedMaleMiceMice, Inbred C57BLMovementVideo Recording

Identifiers

PMID27636358
PMCPMC5026371

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.